ABSTRACT
Topic: Safety and Ethics of Agentic LLMs in Health Domains
In this seminar, Dr. Yulia Tsvetkov will discuss the challenges that arise as large language models evolve into agentic systems in healthcare, introducing significant safety and ethical risks. She will focus on why standard medical benchmarks fail to capture the realities of clinical interactions and propose a new evaluation framework for agentic medical dialogue. The talk will conclude with a discussion on research directions for the safer deployment of AI-for-health systems, including uncertainty calibration, bias analysis, and privacy considerations.
BIO
Yulia Tsvetkov is an associate professor at the Paul G. Allen School of Computer Science & Engineering at the University of Washington. Her research group works on fundamental advancements to large language models, AI ethics/safety, and multilingual NLP. This research is motivated by a unified goal: to extend the capabilities of human language technology beyond individual populations and across language boundaries, thereby making NLP tools available to all users. Prior to joining UW, Yulia was an assistant professor at Carnegie Mellon University and, before that, a postdoc at Stanford and a PhD student at CMU. Yulia is a recipient of the Sloan Fellowship, NSF CAREER, Okawa Research award, and multiple paper awards and runner-ups at NLP, ML, and CSS conferences.
